subject:(Energy optimization)

Texas A&M University

1. Song, Haneol. Developing a Framework for Ammonia Energy Carrier Supply Chain Optimization Incorporating Renewable Production Technologies.

Degree: MS, Energy, 2018, Texas A&M University

URL: http://hdl.handle.net/1969.1/174134

► An optimization-based supply chain management framework for statewide analyses of renewable ammonia production to electricity generation systems for Texas. With optimized renewable ammonia production plants… (more)

Subjects/Keywords: energy; optimization; ammonia

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APA (6^th Edition):

Song, H. (2018). Developing a Framework for Ammonia Energy Carrier Supply Chain Optimization Incorporating Renewable Production Technologies. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174134

Chicago Manual of Style (16^th Edition):

Song, Haneol. “Developing a Framework for Ammonia Energy Carrier Supply Chain Optimization Incorporating Renewable Production Technologies.” 2018. Masters Thesis, Texas A&M University. Accessed October 14, 2019. http://hdl.handle.net/1969.1/174134.

MLA Handbook (7^th Edition):

Song, Haneol. “Developing a Framework for Ammonia Energy Carrier Supply Chain Optimization Incorporating Renewable Production Technologies.” 2018. Web. 14 Oct 2019.

Vancouver:

Song H. Developing a Framework for Ammonia Energy Carrier Supply Chain Optimization Incorporating Renewable Production Technologies. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/1969.1/174134.

Council of Science Editors:

Song H. Developing a Framework for Ammonia Energy Carrier Supply Chain Optimization Incorporating Renewable Production Technologies. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174134

University of Ontario Institute of Technology

2. Bingham, Raymond D. Optimization of residential buildings and renewable energy integration in small island developing states: the Bahamas as a case study.

Degree: 2017, University of Ontario Institute of Technology

URL: http://hdl.handle.net/10155/847

► An optimization approach is used to assess the energy performance and design of residential homes in The Bahamas with the goal of providing objective data… (more)

Subjects/Keywords: Bahamas; Optimization; Residential; Renewable energy

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APA (6^th Edition):

Bingham, R. D. (2017). Optimization of residential buildings and renewable energy integration in small island developing states: the Bahamas as a case study. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/847

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bingham, Raymond D. “Optimization of residential buildings and renewable energy integration in small island developing states: the Bahamas as a case study.” 2017. Thesis, University of Ontario Institute of Technology. Accessed October 14, 2019. http://hdl.handle.net/10155/847.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bingham, Raymond D. “Optimization of residential buildings and renewable energy integration in small island developing states: the Bahamas as a case study.” 2017. Web. 14 Oct 2019.

Vancouver:

Bingham RD. Optimization of residential buildings and renewable energy integration in small island developing states: the Bahamas as a case study. [Internet] [Thesis]. University of Ontario Institute of Technology; 2017. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10155/847.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bingham RD. Optimization of residential buildings and renewable energy integration in small island developing states: the Bahamas as a case study. [Thesis]. University of Ontario Institute of Technology; 2017. Available from: http://hdl.handle.net/10155/847

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

3. Cheruvu, Ramya. Optimization of Power Generation in Airborne Wind Energy Systems.

Degree: MS, Mechanical Engineering, 2015, Penn State University

URL: https://etda.libraries.psu.edu/catalog/25105

► Optimization of power generation is important for Airborne Wind Energy Systems to increase their cost effectiveness and hence industry viability. In this thesis, an approach… (more)

Subjects/Keywords: airborne wind energy systems; optimization

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APA (6^th Edition):

Cheruvu, R. (2015). Optimization of Power Generation in Airborne Wind Energy Systems. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/25105

Chicago Manual of Style (16^th Edition):

Cheruvu, Ramya. “Optimization of Power Generation in Airborne Wind Energy Systems.” 2015. Masters Thesis, Penn State University. Accessed October 14, 2019. https://etda.libraries.psu.edu/catalog/25105.

MLA Handbook (7^th Edition):

Cheruvu, Ramya. “Optimization of Power Generation in Airborne Wind Energy Systems.” 2015. Web. 14 Oct 2019.

Vancouver:

Cheruvu R. Optimization of Power Generation in Airborne Wind Energy Systems. [Internet] [Masters thesis]. Penn State University; 2015. [cited 2019 Oct 14]. Available from: https://etda.libraries.psu.edu/catalog/25105.

Council of Science Editors:

Cheruvu R. Optimization of Power Generation in Airborne Wind Energy Systems. [Masters Thesis]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/25105

Oklahoma State University

4. Maheshwari, Zeel. Approach to Modeling and Optimization of Integrated Renewable Energy System (Ires).

Degree: Electrical Engineering, 2013, Oklahoma State University

URL: http://hdl.handle.net/11244/14981

► The purpose of this study was to cost optimize electrical part of IRES (Integrated Renewable Energy Systems) using HOMER and maximize the utilization of resources… (more)

▼ The purpose of this study was to cost optimize electrical part of IRES (Integrated Renewable Energy Systems) using HOMER and maximize the utilization of resources using MATLAB programming. IRES is an effective and a viable strategy that can be employed to harness renewable energy resources to energize remote rural areas of developing countries. The resource- need matching, which is the basis for IRES makes it possible to provide energy in an efficient and cost effective manner. Modeling and optimization of IRES for a selected study area makes IRES more advantageous when compared to hybrid concepts. A remote rural area with a population of 700 in 120 households and 450 cattle is considered as an example for cost analysis and optimization. Mathematical models for key components of IRES such as biogas generator, hydropower generator, wind turbine, PV system and battery banks are developed. A discussion of the size of water reservoir required is also presented. Modeling of IRES on the basis of need to resource and resource to need matching is pursued to help in optimum use of resources for the needs. Fixed resources such as biogas and water are used in prioritized order whereas movable resources such as wind and solar can be used simultaneously for different priorities. IRES is cost optimized for electricity demand using HOMER software that is developed by the NREL (National Renewable Energy Laboratory). HOMER optimizes configuration for electrical demand only and does not consider other demands such as biogas for cooking and water for domestic and irrigation purposes. Hence an optimization program based on the need-resource modeling of IRES is performed in MATLAB. Optimization of the utilization of resources for several needs is performed. Results obtained from MATLAB clearly show that the available resources can fulfill the demand of the rural areas. Introduction of IRES in rural communities has many socio-economic implications. It brings about improvement in living environment and community welfare by supplying the basic needs such as biogas for cooking, water for domestic and irrigation purposes and electrical energy for lighting, communication, cold storage, educational and small- scale industrial purposes. Advisors/Committee Members: Ramakumar, Rama G. (advisor), Hagan, Martin (committee member), Bukkapatnam, Satish (committee member).

Subjects/Keywords: energy; integrated; modeling; optimization; renewable

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APA (6^th Edition):

Maheshwari, Z. (2013). Approach to Modeling and Optimization of Integrated Renewable Energy System (Ires). (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/14981

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Maheshwari, Zeel. “Approach to Modeling and Optimization of Integrated Renewable Energy System (Ires).” 2013. Thesis, Oklahoma State University. Accessed October 14, 2019. http://hdl.handle.net/11244/14981.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Maheshwari, Zeel. “Approach to Modeling and Optimization of Integrated Renewable Energy System (Ires).” 2013. Web. 14 Oct 2019.

Vancouver:

Maheshwari Z. Approach to Modeling and Optimization of Integrated Renewable Energy System (Ires). [Internet] [Thesis]. Oklahoma State University; 2013. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/11244/14981.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Maheshwari Z. Approach to Modeling and Optimization of Integrated Renewable Energy System (Ires). [Thesis]. Oklahoma State University; 2013. Available from: http://hdl.handle.net/11244/14981

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Miami

5. Lee, Hoe-Gil. Optimal Design of Solar Photovoltaic Systems.

Degree: PhD, Mechanical Engineering (Engineering), 2015, University of Miami

URL: https://scholarlyrepository.miami.edu/oa_dissertations/1452

► A solar PV array system is comprised of the following components - solar cells, panel modules, and an array system. Thus, overall optimal design of… (more)

▼ A solar PV array system is comprised of the following components - solar cells, panel modules, and an array system. Thus, overall optimal design of a solar PV system involves the optimal design of the components at three levels - solar cell, panel module, and array. The conversion efficiency, power output, and incident solar energy pertaining to the requirements of seasonal demands are to be considered in the process. At the solar cell level, cell performance depends on solar cell structure, top contact design, and cell size. The correlations between cell structure, cell size and top contact design are investigated. At the PV panel module level, the optimization of a PV panel module is investigated based on the optimal design of individual solar cells for maximizing the power output. The role of the PV panel module is interactive between solar cells and the array system and is composed of a number of solar cells and panel modules. In designing a solar PV array system with cost considerations, the performance of a solar PV array system is investigated based on the performance of its subsystems - the solar cell and the panel module – as well as the cost of the array system. The optimal design of an array system is considered by formulating six single-objective optimization problems – the maximization of the conversion efficiency of the cells, power output of the arrays, annual monthly average incident solar energy, lowest month’s and highest month’s incident solar energy and minimization of cost. Multi-objective optimum designs of a solar cell, flat plate solar PV array system and compound parabolic concentrator (CPC) PV collector system are also considered by using mathematical techniques. Game theory and fuzzy set theory methodologies are used for finding the solution of multi-objective optimization problems derived from the results of single-objective problems using genetic algorithms of ga (program MATLAB). For a solar cell, the multi-objective optimization is constructed using two objectives – the maximization of the conversion efficiency and power output. The resulting multi-objective optimization (of a solar cell) is investigated with varying intensities of sunlight and by placing constraints on the minimum permissible conversion efficiency while maximizing efficiency and power output. Multilevel system optimization problems are solved using game theory and fuzzy set theory for finding a compromise solution of the six-objective optimization problems which are related to conversion efficiency, power output, annual incident solar energy, winter incident solar energy, summer incident solar energy and total cost of the PV array system. In the case of a solar CPC collector system, there are three single-objective problems: annual monthly average of incident solar energy, lowest month’s incident solar energy and cost. Game theory methodology is used for finding a compromise solution in the process of constraints stated. The aim of uncertainty analysis is to predict the performance of a component or system in the… Advisors/Committee Members: Sigiresu S. Rao, Shihab S. Asfour, Michael R. Swain, Hongtan Liu.

Subjects/Keywords: solar energy; photovoltaic; optimization

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APA (6^th Edition):

Lee, H. (2015). Optimal Design of Solar Photovoltaic Systems. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/1452

Chicago Manual of Style (16^th Edition):

Lee, Hoe-Gil. “Optimal Design of Solar Photovoltaic Systems.” 2015. Doctoral Dissertation, University of Miami. Accessed October 14, 2019. https://scholarlyrepository.miami.edu/oa_dissertations/1452.

MLA Handbook (7^th Edition):

Lee, Hoe-Gil. “Optimal Design of Solar Photovoltaic Systems.” 2015. Web. 14 Oct 2019.

Vancouver:

Lee H. Optimal Design of Solar Photovoltaic Systems. [Internet] [Doctoral dissertation]. University of Miami; 2015. [cited 2019 Oct 14]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1452.

Council of Science Editors:

Lee H. Optimal Design of Solar Photovoltaic Systems. [Doctoral Dissertation]. University of Miami; 2015. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1452

University of Waterloo

6. Doroshenko, Mykhailo. Quantifying the Effects of Solar Panel Orientation on the Electrical Grid.

Degree: 2016, University of Waterloo

URL: http://hdl.handle.net/10012/11066

► As the prices of solar panels continue to decline, energy production from solar farms is skyrocketing, leading to a situation where, at certain times, solar… (more)

Subjects/Keywords: renewable energy; solar power; optimization

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APA (6^th Edition):

Doroshenko, M. (2016). Quantifying the Effects of Solar Panel Orientation on the Electrical Grid. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/11066

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Doroshenko, Mykhailo. “Quantifying the Effects of Solar Panel Orientation on the Electrical Grid.” 2016. Thesis, University of Waterloo. Accessed October 14, 2019. http://hdl.handle.net/10012/11066.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Doroshenko, Mykhailo. “Quantifying the Effects of Solar Panel Orientation on the Electrical Grid.” 2016. Web. 14 Oct 2019.

Vancouver:

Doroshenko M. Quantifying the Effects of Solar Panel Orientation on the Electrical Grid. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10012/11066.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Doroshenko M. Quantifying the Effects of Solar Panel Orientation on the Electrical Grid. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/11066

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Colorado State University

7. Oxley, Mark. Energy- and thermal-aware resource management for heterogeneous high-performance computing systems.

Degree: PhD, Electrical and Computer Engineering, 2016, Colorado State University

URL: http://hdl.handle.net/10217/173356

► Today's high-performance computing (HPC) systems face the issue of balancing electricity (energy) use and performance. Rising energy costs are forcing system operators to either operate… (more)

▼ Today's high-performance computing (HPC) systems face the issue of balancing electricity (energy) use and performance. Rising energy costs are forcing system operators to either operate within an energy budget or to reduce energy use as much as possible while still maintaining performance-based service agreements. Energy-aware resource management is one method for solving such problems. Resource management in the context of high-performance computing refers to the process of assigning and scheduling workloads to resources (e.g., compute nodes). Because the cooling systems in HPC facilities also consume a considerable amount of energy, it is important to consider the computer room air conditioning (CRAC) units as a controllable resource and to study the relationship (and energy consumption impact) between the computing and cooling systems. In this thesis, we present four primary contributing studies with differing environments and novel techniques designed for each of those environments. Each study proposes new ideas in the field of energy- and thermal-aware resource management for heterogeneous HPC systems. Our first contribution explores the problem of assigning a collection of independent tasks ("bag-of-tasks") to a heterogeneous HPC system in an energy-aware manner, where task execution times vary. We propose two new measures that consider these uncertainties with respect to makespan and energy: makespan-robustness and energy-robustness. We design resource management heuristics to either: (a) maximize makespan-robustness within an energy-robustness constraint, or (b) maximize energy-robustness within a makespan-robustness constraint. Our next contribution studies a rate-based environment where task execution rates are assigned to compute cores within the HPC facility. The performance measure in this study is the reward rate earned for executing tasks. We analyze the impact that co-location interference (i.e., the performance degradation experienced when tasks are simultaneously executing on cores that share memory resources) has on the reward rate. Novel heuristics are designed that maximize the reward rate under power and thermal constraints, considering the interactions between both computing and cooling systems. As part of the third contribution, we design new techniques for a geographical load distribution problem. That is, our proposed techniques intelligently distribute the workload to data centers located in different geographical regions that have varying energy prices and amount of renewable energy available. The novel techniques we propose use knowledge of co-location interference, thermal models, varying energy prices, and available renewable energy at each data center to minimize monetary energy costs while ensuring all tasks in the workload are completed. Our final contribution is a new energy- and thermal-aware runtime framework designed to maximize reward earned from completing individual tasks by their deadlines within energy and thermal constraints.… Advisors/Committee Members: Siegel, H. J. (advisor), Pasricha, Sudeep (advisor), Maciejewski, Anthony A. (committee member), Whitley, Darrell (committee member).

Subjects/Keywords: Datacenter; Optimization; Energy; Cooling

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APA (6^th Edition):

Oxley, M. (2016). Energy- and thermal-aware resource management for heterogeneous high-performance computing systems. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/173356

Chicago Manual of Style (16^th Edition):

Oxley, Mark. “Energy- and thermal-aware resource management for heterogeneous high-performance computing systems.” 2016. Doctoral Dissertation, Colorado State University. Accessed October 14, 2019. http://hdl.handle.net/10217/173356.

MLA Handbook (7^th Edition):

Oxley, Mark. “Energy- and thermal-aware resource management for heterogeneous high-performance computing systems.” 2016. Web. 14 Oct 2019.

Vancouver:

Oxley M. Energy- and thermal-aware resource management for heterogeneous high-performance computing systems. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10217/173356.

Council of Science Editors:

Oxley M. Energy- and thermal-aware resource management for heterogeneous high-performance computing systems. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173356

University of Manitoba

8. Bagheri, Shahriar. Piezoelectric energy harvesting: modeling, optimization, and experimental study of transient charging behavior.

Degree: Mechanical Engineering, 2019, University of Manitoba

URL: http://hdl.handle.net/1993/34085

► Piezoelectric Energy Harvesters (PEH) are complex dynamic electromechanical systems. As such, derivation of an accurate model that can describe system's behavior under different operating conditions… (more)

▼ Piezoelectric Energy Harvesters (PEH) are complex dynamic electromechanical systems. As such, derivation of an accurate model that can describe system's behavior under different operating conditions is challenging. Moreover, the interconnection between the piezoelectric transducer and any forms of power conditioning and storage further complicates the modeling process. This thesis tackles the problem of modeling the transient operation of a PEH during the charging process of an external storage device through electrical interfacing circuits. A semi-theoretical model is proposed based on the Euler-Bernoulli beam theory. The model takes into account the electromechanical coupling effects of the piezoelectric material, as well as the dynamic process of charging an external storage capacitor. The effects of an standard interfacing circuit with diode bridge rectifier and a non-linear synchronous switching circuit on the transient charging dynamics are modeled and comprehensively studied. Additionally, an experimental test setup is developed to validate the efficacy of the developed model and to further investigate the effect of different interfacing circuits on the energy harvesting system. Furthermore, the problem of finding the optimal design parameters for a PEH is considered. A new simulation-based optimization procedure is proposed with the goal of acquiring the optimal geometric and circuit design parameters that lead to higher energy harvesting efficiency and also enhance the obtained electrical power. The basis of the optimization platform is the developed semi-theoretical model of the energy harvesting system. In order to avoid the time and space (memory) complexities during the computer optimization caused by the expensive-to-evaluate Objective Function (OF) (i.e. simulation model) combination of Artificial Intelligence (AI) and Evolutionary Algorithm (EA) is used to facilitate the optimization process, while maintaining the required accuracy. More precisely, a computationally efficient Neural Network (NN) model is first trained based on a set of training data obtained from the simulation model. Performance and accuracy of the NN training is studied using available statistical methods. Second, a Genetic Algorithm (GA) optimization performs a block-box optimization procedure, using the trained NN model for OF evaluation. Finally a thorough analysis of the optimal design parameters obtained from the optimization process is provided. Advisors/Committee Members: Wu, Nan (Mechanical Engineering), Ojo, Olanrewaju (Mechanical Engineering).

Subjects/Keywords: Energy harvesting; Piezoelectric; Modeling; Optimization

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APA (6^th Edition):

Bagheri, S. (2019). Piezoelectric energy harvesting: modeling, optimization, and experimental study of transient charging behavior. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/34085

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bagheri, Shahriar. “Piezoelectric energy harvesting: modeling, optimization, and experimental study of transient charging behavior.” 2019. Thesis, University of Manitoba. Accessed October 14, 2019. http://hdl.handle.net/1993/34085.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bagheri, Shahriar. “Piezoelectric energy harvesting: modeling, optimization, and experimental study of transient charging behavior.” 2019. Web. 14 Oct 2019.

Vancouver:

Bagheri S. Piezoelectric energy harvesting: modeling, optimization, and experimental study of transient charging behavior. [Internet] [Thesis]. University of Manitoba; 2019. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/1993/34085.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bagheri S. Piezoelectric energy harvesting: modeling, optimization, and experimental study of transient charging behavior. [Thesis]. University of Manitoba; 2019. Available from: http://hdl.handle.net/1993/34085

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

9. Basciftci, Beste. Data-driven stochastic optimization approaches with applications in power systems.

Degree: PhD, Industrial and Systems Engineering, 2019, Georgia Tech

URL: http://hdl.handle.net/1853/61765

► In this thesis, we focus on data-driven stochastic optimization problems with an emphasis in power systems applications. On the one hand, we address the inefficiencies… (more)

Subjects/Keywords: Optimization under uncertainty; Energy systems

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APA (6^th Edition):

Basciftci, B. (2019). Data-driven stochastic optimization approaches with applications in power systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61765

Chicago Manual of Style (16^th Edition):

Basciftci, Beste. “Data-driven stochastic optimization approaches with applications in power systems.” 2019. Doctoral Dissertation, Georgia Tech. Accessed October 14, 2019. http://hdl.handle.net/1853/61765.

MLA Handbook (7^th Edition):

Basciftci, Beste. “Data-driven stochastic optimization approaches with applications in power systems.” 2019. Web. 14 Oct 2019.

Vancouver:

Basciftci B. Data-driven stochastic optimization approaches with applications in power systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/1853/61765.

Council of Science Editors:

Basciftci B. Data-driven stochastic optimization approaches with applications in power systems. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61765

University of Sydney

10. Zhang, Yongxi. POWER SYSTEM OPERATION AND PLANNING WITH RENEWABLE POWER GENERATIONS AND ENERGY STORAGE .

Degree: 2016, University of Sydney

URL: http://hdl.handle.net/2123/15974

► Renewable energy, especially wind, photovoltaic technologies and battery energy storage (BES) have become emerging technologies over recent years with the increasing prevalence of the smart… (more)

▼ Renewable energy, especially wind, photovoltaic technologies and battery energy storage (BES) have become emerging technologies over recent years with the increasing prevalence of the smart grid. Recently, the penetration level of renewable energy has become an area of focus motivated by growing environmental and economic concerns. Integrating renewable energy resources offers various advantages in reducing carbon dioxide emission, increasing energy efficiency and enhancing system flexibility and reliability. At the same time, the stochastic nature of renewable energy also challenges the grid in aspects of system scheduling and planning. In order to effectively accommodate various renewable energy technologies and storage systems into the smart grid, it is vital for system operators, and utility owners to find appropriate strategies for power system operation and planning. Aiming to address the main issues arising from renewable energy integration, this research explores study areas that focus on operation and planning for better integration of emerging renewable energy resource technologies. Specifically, for the planning aspect, this thesis addresses how to optimally allocate an Energy Storage System (ESS) in distribution networks; for the operational aspect, this thesis discusses how to optimally dispatch wind power in a transmission system, respectively. In the area of long-term ESS expansion planning in active distribution networks (ADN), this thesis developed some methods for battery energy storage system (BESS) allocation with abundant renewable energy resources. ESSs are commonly applied to cooperate with renewable power generation to manage uncertainty and randomness, especially in distribution networks. Particularly, a chance constrained programming based planning framework was presented to determine the appropriate planning solution for battery units to reduce wind power curtailment. The trade-off between total cost, and wind power utilization level was analysed under different confidence levels. Furthermore, to study the potential voltage regulation effects of BESS in ADN with sufficient renewable energy resources, a stochastic BESS allocation scheme was developed which took conservation voltage reduction effects into consideration. Also, the stochastic factor of load composition is simulated using scenario analysis. Moreover, in order to fully analyse the role that BES units play in voltage regulation, a novel methodology was established to address voltage rise issues. The sparse theory is incorporated in the problem formulation. This model aims to build a fully distributed control scheme for voltage regulation in ADN using dispersed BES units. In the area of short-term operation, a stochastic optimal dispatch model of a power system considering interactions of multiple wind farm outputs was established at first. The fat-tail relevance among multiple wind farm output power was simulated utilizing the Gumbel-copula function. A chance constraints embedded stochastic optimal dispatch was then proposed…

Subjects/Keywords: renewable energy; planning; operation; optimization

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APA (6^th Edition):

Zhang, Y. (2016). POWER SYSTEM OPERATION AND PLANNING WITH RENEWABLE POWER GENERATIONS AND ENERGY STORAGE . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/15974

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zhang, Yongxi. “POWER SYSTEM OPERATION AND PLANNING WITH RENEWABLE POWER GENERATIONS AND ENERGY STORAGE .” 2016. Thesis, University of Sydney. Accessed October 14, 2019. http://hdl.handle.net/2123/15974.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zhang, Yongxi. “POWER SYSTEM OPERATION AND PLANNING WITH RENEWABLE POWER GENERATIONS AND ENERGY STORAGE .” 2016. Web. 14 Oct 2019.

Vancouver:

Zhang Y. POWER SYSTEM OPERATION AND PLANNING WITH RENEWABLE POWER GENERATIONS AND ENERGY STORAGE . [Internet] [Thesis]. University of Sydney; 2016. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/2123/15974.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang Y. POWER SYSTEM OPERATION AND PLANNING WITH RENEWABLE POWER GENERATIONS AND ENERGY STORAGE . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/15974

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Ontario Institute of Technology

11. Rabbani, Hassan. Modeling and multi-objective optimization of a photovoltaic-thermal based multigeneration system.

Degree: 2015, University of Ontario Institute of Technology

URL: http://hdl.handle.net/10155/612

► In this thesis, a novel multi generation integrated system is introduced, analyzed and optimized. It consists of GaAs based PV (Photo-Voltaic) arrays connected in series.… (more)

▼ In this thesis, a novel multi generation integrated system is introduced, analyzed and optimized. It consists of GaAs based PV (Photo-Voltaic) arrays connected in series. Light is being concentrated on those arrays using lenses or mirrors. Concentrated light increases the cell temperature significantly. The cell is cooled down using a heat transfer fluid. This heat is being transferred to an organic Rankine cycle which not only produces electricity but also produces hot water for domestic applications. The organic Rankine cycle is also coupled with quadruple ammonia water absorption chiller. A part of the net electricity is used a PEM electrolyzer which produces hydrogen. So, using a single heat source, four useful commodities are produced, namely electricity, hot water, cooling, and hydrogen. An integrated thermal model is developed to analyze this system. Five parameters, namely pressure in primary loop, pressure and temperature of organic Rankine cycle, pressure and temperature of ammonia water chiller system are varied in order to investigate their effects on energy and exergy efficiencies, cost of electricity, enviro economic parameter and on different exergoenvironmental factors. The results indicate that the PV array should be tilted at 30?? this will give maximum radiation intensity on the surface of PV array. I-V (Current and Volt) curves shows that increasing the radiation intensity increases both the current and voltage. For sake of analysis, the system is developed for Toronto, ON, Canada. At a concentration factor of 15 in a 100 cell PV array, 196.2 V and 8 A can be achieved at a radiation intensity of 1000 W/m??. Similarly, increasing the radiation intensity can increase the cell temperature up to 700 K. The maximum calculated energy and exergy efficiencies are 46% and 40.5%, respectively. Three objective functions are developed using the data obtained from parametric study namely exergy efficiency, cost of electricity ($/kWs) and exergoenvironmental impact coefficient. These objective functions were optimized using a genetic algorithm called NSGA-II. I have a multiple solutions which is called Pareto-front. The results shows that the optimum efficiency is 38.14%, optimum cost of coefficient of electricity is 13.4 cents/kWh and optimized exergoenvironmental impact coefficient is 2.6. The multigeneration energy system discussed in this thesis and similar other alternatives (with renewable energy sources) can significantly contribute in addressing world energy needs and related challenges (e.g., human wealth, human welfare and environmental impact). Advisors/Committee Members: Rahnamayan, Shahryar, Dincer, Ibrahim.

Subjects/Keywords: Solar energy; Photovoltaics; PVT systems; Optimization; Energy

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APA (6^th Edition):

Rabbani, H. (2015). Modeling and multi-objective optimization of a photovoltaic-thermal based multigeneration system. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/612

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Rabbani, Hassan. “Modeling and multi-objective optimization of a photovoltaic-thermal based multigeneration system.” 2015. Thesis, University of Ontario Institute of Technology. Accessed October 14, 2019. http://hdl.handle.net/10155/612.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Rabbani, Hassan. “Modeling and multi-objective optimization of a photovoltaic-thermal based multigeneration system.” 2015. Web. 14 Oct 2019.

Vancouver:

Rabbani H. Modeling and multi-objective optimization of a photovoltaic-thermal based multigeneration system. [Internet] [Thesis]. University of Ontario Institute of Technology; 2015. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10155/612.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rabbani H. Modeling and multi-objective optimization of a photovoltaic-thermal based multigeneration system. [Thesis]. University of Ontario Institute of Technology; 2015. Available from: http://hdl.handle.net/10155/612

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

12. Tora, Eman Abdel-Hakim Aly Mohamed. Optimal design and integration of solar systems and fossil fuels for process cogeneration.

Degree: 2009, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2907

► Because of the fluctuations in incident solar power, outlet power also changes over time (e.g., on an hourly basis or seasonally). If there is a… (more)

Subjects/Keywords: Solar energy; process; cogeneration; energy integration; optimization

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APA (6^th Edition):

Tora, E. A. A. M. (2009). Optimal design and integration of solar systems and fossil fuels for process cogeneration. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2907

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Tora, Eman Abdel-Hakim Aly Mohamed. “Optimal design and integration of solar systems and fossil fuels for process cogeneration.” 2009. Thesis, Texas A&M University. Accessed October 14, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2907.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Tora, Eman Abdel-Hakim Aly Mohamed. “Optimal design and integration of solar systems and fossil fuels for process cogeneration.” 2009. Web. 14 Oct 2019.

Vancouver:

Tora EAAM. Optimal design and integration of solar systems and fossil fuels for process cogeneration. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2907.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tora EAAM. Optimal design and integration of solar systems and fossil fuels for process cogeneration. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2907

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

13. Van Staveren, R.J.M. The role of electrical energy storage in a future sustainable electricity grid:.

Degree: 2014, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:69942211-7216-4c09-b9e5-e5e452240a5b

► The call for lower CO2 emissions has increased the integration of renewable energy sources in the electricity system. However, these intermittent sources do not follow… (more)

Subjects/Keywords: electrical energy storage; renewable energy; optimization

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APA (6^th Edition):

Van Staveren, R. J. M. (2014). The role of electrical energy storage in a future sustainable electricity grid:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:69942211-7216-4c09-b9e5-e5e452240a5b

Chicago Manual of Style (16^th Edition):

Van Staveren, R J M. “The role of electrical energy storage in a future sustainable electricity grid:.” 2014. Masters Thesis, Delft University of Technology. Accessed October 14, 2019. http://resolver.tudelft.nl/uuid:69942211-7216-4c09-b9e5-e5e452240a5b.

MLA Handbook (7^th Edition):

Van Staveren, R J M. “The role of electrical energy storage in a future sustainable electricity grid:.” 2014. Web. 14 Oct 2019.

Vancouver:

Van Staveren RJM. The role of electrical energy storage in a future sustainable electricity grid:. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2019 Oct 14]. Available from: http://resolver.tudelft.nl/uuid:69942211-7216-4c09-b9e5-e5e452240a5b.

Council of Science Editors:

Van Staveren RJM. The role of electrical energy storage in a future sustainable electricity grid:. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:69942211-7216-4c09-b9e5-e5e452240a5b

Oklahoma State University

14. Mathema, Preety. Optimization of Integrated Renewable Energy System - Micro Grid (IRES-MG).

Degree: School of Electrical & Computer Engineering, 2011, Oklahoma State University

URL: http://hdl.handle.net/11244/10241

► Ever growing demands of increasing world population has challenged the scientific and technical communities to supply quality energy in a sustainable manner. Dependence on fossil… (more)

Subjects/Keywords: integrated renewable energy; microgrid; optimization; renewable energy

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APA (6^th Edition):

Mathema, P. (2011). Optimization of Integrated Renewable Energy System - Micro Grid (IRES-MG). (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/10241

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Mathema, Preety. “Optimization of Integrated Renewable Energy System - Micro Grid (IRES-MG).” 2011. Thesis, Oklahoma State University. Accessed October 14, 2019. http://hdl.handle.net/11244/10241.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Mathema, Preety. “Optimization of Integrated Renewable Energy System - Micro Grid (IRES-MG).” 2011. Web. 14 Oct 2019.

Vancouver:

Mathema P. Optimization of Integrated Renewable Energy System - Micro Grid (IRES-MG). [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/11244/10241.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mathema P. Optimization of Integrated Renewable Energy System - Micro Grid (IRES-MG). [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/10241

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

15. Alquthami, Thamer. A smart house energy management system.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

URL: http://hdl.handle.net/1853/53900

► The impact of distributed energy resources (DERs), electric vehicles/plug-in hybrid electric vehicles (EVs/PHEVs), and smart appliances on the distribution grid has been expected to be… (more)

Subjects/Keywords: Smart grid; Energy management; House energy management; Energy optimization

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APA (6^th Edition):

Alquthami, T. (2015). A smart house energy management system. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53900

Chicago Manual of Style (16^th Edition):

Alquthami, Thamer. “A smart house energy management system.” 2015. Doctoral Dissertation, Georgia Tech. Accessed October 14, 2019. http://hdl.handle.net/1853/53900.

MLA Handbook (7^th Edition):

Alquthami, Thamer. “A smart house energy management system.” 2015. Web. 14 Oct 2019.

Vancouver:

Alquthami T. A smart house energy management system. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/1853/53900.

Council of Science Editors:

Alquthami T. A smart house energy management system. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53900

Texas A&M University

16. Alahmadi, Hasan Ali H. A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia.

Degree: PhD, Petroleum Engineering, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/157993

► An energy producer must determine optimal energy investment strategies in order to maximize the value of its energy portfolio. Determining optimal investment strategies is challenging.… (more)

▼ An energy producer must determine optimal energy investment strategies in order to maximize the value of its energy portfolio. Determining optimal investment strategies is challenging. One of the main challenges is the large uncertainty in many of the parameters involved in the optimization process. Existing large-scale energy models are mostly deterministic and thus have limited capability for assessing uncertainty. Modelers usually use scenario analysis to address model input uncertainty. In this research, I developed a probabilistic model for optimizing energy investments and policies from an energy producer’s perspective. The model uses a top-down approach to probabilistically forecast primary energy demand. Distributions rather than static values are used to model uncertainty in the input variables. The model can be applied to a country-level energy system. It maximizes the portfolio expected net present value (ENPV) while ensuring energy sustainability. The model was built in MSExcel® using the @RISK Palisade add-in, which is capable of modeling uncertain parameters and performing stochastic simulation optimization. The model was applied to Saudi Arabia to determine its optimum energy investment strategy, determine the value of investing in alternative energy sources, and compare deterministic and probabilistic modeling approaches. The model, given its assumptions and limitations, suggests that Saudi Arabia should keep its oil production capacity at 12.5 million barrels per day, especially in the short term. It also suggests that most of the future power-generation (electricity) demand in Saudi Arabia should be met using alternative-energy sources (nuclear, solar, and wind). Otherwise, large gas production is required to meet such demand. In addition, comparing probabilistic to deterministic model results shows that deterministic models may overestimate total portfolio ENPV and underestimate future investments needed to meet projected power demand. A primary contribution of this work is rigorously addressing uncertainty quantification in energy modeling. Building probabilistic energy models is one of the challenges facing the industry today. The model is also the first, to the best of my knowledge, that attempts to optimize Saudi Arabia’s energy portfolio using a probabilistic approach and addressing the value of investing in alternative energy sources. Advisors/Committee Members: McVay, Duane A (advisor), Gildin, Eduardo (committee member), Voneiff, George W (committee member), Mallick, Bani K (committee member).

Subjects/Keywords: Energy Optimization; Uncertainty Quantification; Probabilistic Energy Modeling; Energy Economics

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APA (6^th Edition):

Alahmadi, H. A. H. (2016). A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157993

Chicago Manual of Style (16^th Edition):

Alahmadi, Hasan Ali H. “A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia.” 2016. Doctoral Dissertation, Texas A&M University. Accessed October 14, 2019. http://hdl.handle.net/1969.1/157993.

MLA Handbook (7^th Edition):

Alahmadi, Hasan Ali H. “A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia.” 2016. Web. 14 Oct 2019.

Vancouver:

Alahmadi HAH. A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/1969.1/157993.

Council of Science Editors:

Alahmadi HAH. A Model for Optimizing Energy Investments and Policy Under Uncertainty with Application to Saudi Arabia. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157993

University of Waterloo

17. Chang, Hsiu-Chuan. Shared Community Energy Storage Allocation and Optimization.

Degree: 2019, University of Waterloo

URL: http://hdl.handle.net/10012/14628

► Distributed Energy Resources (DERs) have been playing an increasingly important role for managing households energy costs. DERs consist primarily of energy generation and storage systems… (more)

Subjects/Keywords: Community energy storage; Distributed energy resources; Smart energy community; Optimization; Allocation

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APA (6^th Edition):

Chang, H. (2019). Shared Community Energy Storage Allocation and Optimization. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14628

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chang, Hsiu-Chuan. “Shared Community Energy Storage Allocation and Optimization.” 2019. Thesis, University of Waterloo. Accessed October 14, 2019. http://hdl.handle.net/10012/14628.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chang, Hsiu-Chuan. “Shared Community Energy Storage Allocation and Optimization.” 2019. Web. 14 Oct 2019.

Vancouver:

Chang H. Shared Community Energy Storage Allocation and Optimization. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10012/14628.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chang H. Shared Community Energy Storage Allocation and Optimization. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14628

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Ontario Institute of Technology

18. El-Emam, Rami. Analysis, assessment and optimization of integrated solar energy systems for multigeneration.

Degree: 2014, University of Ontario Institute of Technology

URL: http://hdl.handle.net/10155/515

► The extensive usage of fossil fuel in most of human activities has led to the undesirable effects on the environment starting from global warming and… (more)

▼ The extensive usage of fossil fuel in most of human activities has led to the undesirable effects on the environment starting from global warming and greenhouse effects to the climate changes, acid rain and others. Renewable energy is at the core of most of recent research activities to overcome these environmental challenges. Being an integral part of other renewable resources, solar energy utilization aims to occupy more portion of the world energy framework. Integrated energy systems for multigeneration produces several useful products using the same energy input. Electrical power generation, fresh water, space heating and cooling and domestic hot water are the major commodities that furnish our life activities. Hydrogen is another useful product taken into consideration. The proposed systems in this work cover all these products as a step for achieving a sustainable and environmentally benign community. These systems pose great potential for global warming mitigation. In the work presented, different multigeneration energy systems based on solar energy are introduced. Comprehensive thermodynamic, environmental and economic analyses for the proposed multigeneration energy systems are the main goals of this thesis study. Thermodynamic analyses are based on energy and exergy, associated with the efficiencies of overall and system components performances. For a better understanding of the systems performances and the potential of more improvement in their performances, exergoeconomic and environmental analyses and system optimization are performed. Solar dish based integrated system considering biomass-SOFC as alternative for solar unavailability is the first studied system. The system performance is assessed during solar availability and considering the performance of a 24-hours operation. The second system is based on solar parabolic trough providing concentrated heat to an organic Rankine cycle. The system is integrated with electrolyzer for hydrogen production, a reverse osmosis water desalination unit and absorption chiller system and providing domestic hot water. The third main system is based on heliostat solar system integrated with steam turbine for multigeneration purposes. The system produces cooling, heating, fresh water and hydrogen through electrolysis. Advisors/Committee Members: Dincer, Ibrahim.

Subjects/Keywords: Multigeneration; Integrated energy systems; Exergy; Exergoeconomic; Optimization

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APA (6^th Edition):

El-Emam, R. (2014). Analysis, assessment and optimization of integrated solar energy systems for multigeneration. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/515

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

El-Emam, Rami. “Analysis, assessment and optimization of integrated solar energy systems for multigeneration.” 2014. Thesis, University of Ontario Institute of Technology. Accessed October 14, 2019. http://hdl.handle.net/10155/515.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

El-Emam, Rami. “Analysis, assessment and optimization of integrated solar energy systems for multigeneration.” 2014. Web. 14 Oct 2019.

Vancouver:

El-Emam R. Analysis, assessment and optimization of integrated solar energy systems for multigeneration. [Internet] [Thesis]. University of Ontario Institute of Technology; 2014. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10155/515.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

El-Emam R. Analysis, assessment and optimization of integrated solar energy systems for multigeneration. [Thesis]. University of Ontario Institute of Technology; 2014. Available from: http://hdl.handle.net/10155/515

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Ontario Institute of Technology

19. Amirnavaei, Fatemeh. Wireless transmission with energy harvesting and storage.

Degree: 2017, University of Ontario Institute of Technology

URL: http://hdl.handle.net/10155/904

► In this dissertation, online power control strategies are proposed for wireless communication systems equipped with energy harvesting devices and finite-capacity batteries. The methods are proposed… (more)

▼ In this dissertation, online power control strategies are proposed for wireless communication systems equipped with energy harvesting devices and finite-capacity batteries. The methods are proposed for the unbounded fading environment. Due to the time-dependent and random behavior of the energy arrival and fading, this dissertation focuses on the stochastic optimization problem to maximize the long-term average transmission rate. Leveraging the Lyapunov technique, online algorithms are designed based on the current battery energy level and fading condition. The performance gaps to the optimal scenarios are mathematically derived. The proposed algorithms do not require any statistical information (of the energy arrival and fading) and have a novel behavior of conservative energy harvesting and opportunistic transmission. The algorithms are designed for point-to-point, and relay networks. For a point-to-point channel, a three-stage closed-form online power control policy is proposed. The proposed algorithm has an opportunistic behavior based on the energy arrival and channel fading. The proposed methodology is shown to be applicable for multiantenna beamforming scenarios including MISO, SIMO, and MIMO. The analytical performance gap to the optimal solution is presented. The simulations are compared with other online algorithms in the literature and provides a superior performance. A joint online power control strategy is designed for a two-hop amplify and forward (AF) network. Both transmitter and relay are equipped with finite capacity batteries and energy harvesters. The proposed algorithm is a joint closed-form scheme that has an unique behavior in terms of the channel fading and energy arrival of both hops. Analysis is provided to illustrate the performance gap of the proposed algorithm to the optimal solution. The simulation results show that the performance significantly higher than that of existing online algorithms. Advisors/Committee Members: Dong, Min.

Subjects/Keywords: Energy harvesting; Online policy; Stochastic optimization; Wireless

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APA (6^th Edition):

Amirnavaei, F. (2017). Wireless transmission with energy harvesting and storage. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/904

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Amirnavaei, Fatemeh. “Wireless transmission with energy harvesting and storage.” 2017. Thesis, University of Ontario Institute of Technology. Accessed October 14, 2019. http://hdl.handle.net/10155/904.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Amirnavaei, Fatemeh. “Wireless transmission with energy harvesting and storage.” 2017. Web. 14 Oct 2019.

Vancouver:

Amirnavaei F. Wireless transmission with energy harvesting and storage. [Internet] [Thesis]. University of Ontario Institute of Technology; 2017. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10155/904.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Amirnavaei F. Wireless transmission with energy harvesting and storage. [Thesis]. University of Ontario Institute of Technology; 2017. Available from: http://hdl.handle.net/10155/904

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

20. Kannan S M. Optimal energy loss estimation by locating and sizing capacitors in radial distribution system using fuzzy and optimization techniques;.

Degree: Optimal energy loss estimation by locating and sizing capacitors in radial distribution system, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/23839

►

A distribution system is an interface between the bulk power newlinesystem and the consumers Among these systems radial distribution systems newlineare popular because of low… (more)

Subjects/Keywords: electrical engineering; Optimal energy; optimization techniques

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APA (6^th Edition):

M, K. S. (2014). Optimal energy loss estimation by locating and sizing capacitors in radial distribution system using fuzzy and optimization techniques;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/23839

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

M, Kannan S. “Optimal energy loss estimation by locating and sizing capacitors in radial distribution system using fuzzy and optimization techniques;.” 2014. Thesis, Anna University. Accessed October 14, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/23839.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

M, Kannan S. “Optimal energy loss estimation by locating and sizing capacitors in radial distribution system using fuzzy and optimization techniques;.” 2014. Web. 14 Oct 2019.

Vancouver:

M KS. Optimal energy loss estimation by locating and sizing capacitors in radial distribution system using fuzzy and optimization techniques;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Oct 14]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/23839.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

M KS. Optimal energy loss estimation by locating and sizing capacitors in radial distribution system using fuzzy and optimization techniques;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/23839

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Reykjavík University

21. Einar Ingvi Andrésson 1985. Lateral Optimization of Aircraft Tracks in Reykjavik Air Traffic Control Area.

Degree: 2012, Reykjavík University

URL: http://hdl.handle.net/1946/12682

►

The requirement of minimizing fuel oil burn and greenhouse gas emissions in aviation is an ever increasing factor in air traffic management. The approach used… (more)

▼

The requirement of minimizing fuel oil burn and greenhouse gas emissions in aviation is an ever increasing factor in air traffic management. The approach used in this project is to minimize fuel burn and emissions by optimizing flight tracks with respect to wind. This is based on the assumption that by minimizing the flight time between two points, the amount of fuel is also minimized. The optimization is done with the Dijkstra search algorithm, which is used to calculate the shortest path in terms of time for aircrafts in cruise phase. A geographical grid is constructed using flight plans from Icelandair, with the initial flight plan as a reference point to calculate the shortest path through. The starting coordinates and last known coordinates for cruise phase during the flights were used as the starting and end points for the algorithm. Two flights originating in Iceland were examined in detail and both showed reduction in the time spent in cruise phase from their respective flight plans. These improvements were also used to estimate the fuel saved per kilograms. The reduction in fuel burn was subsequently used to estimate the reduction of CO₂ emissions during the cruise phase. The results show that using wind optimization to reduce cruise time with a shortest-path search algorithm can likely offer opportunities for improved fuel efficiency and merits further research. Further research of this method would be extended to airlines that transit through the Reykjavik control area in cruise phase without landing or take-off from Keflavik, giving a better picture of traffic within the Reykjavik control area.

Kröfurnar um að minnka eldsneytisbrennslu og útblástur gróðurhúslofttegunda í flugumferð er sífellt að öðlast meira vægi í flugumstjórn. Aðferðin til lágmarka eldsneytisbrennslu og útblástur í þessu verkefni er með bestun á flugferlum með tilliti til vinda, bæði vindhraða og vindáttar. Bestunin var framkvæmd með Dijkstra leitaralgríminn, sem finnur þá flugleið fyrir flugvélar í flughæð sem lágmarkar flugtímann. Hnitakerfi (net) var smíðað utan um áætlaða flugleið frá flugplani véla Icelandair, þar sem fyrsti þekkti punktur í flughæð var upphafspunktur og til síðustu þekktra hnita í flughæð. Tvö flug voru reiknuð og bæði flugin sýndu fram á betri niðurstöður heldur en áætlaða flugáætlunin gerði ráð fyrir. Þessi bæting var svo notuð til að áætla magn af eldsneyti sparað, sem einnig gefur áætlað magn af CO₂ útblæstri sem er sparað í flughæð. Niðurstöðurnar sýndu að bestun með tilliti til vinda til að lágmarka tíma í flughæð með leitaralgrími sé nokkuð sem vert er að skoða frekar. Í framtíðarrannsóknum á þessari aðferð væri nauðsynlegt að fá gögn frá flugfélögum sem fljúga í gegnum íslenska flugstjórnarsvæðið án þess að lenda eða taka á loft frá Keflavík. Bein flug í flughæð í gegnum flugstjórnarsvæðið gæfu betri mynd af flugumferð innan íslenska svæðisins.

Isavia

Subjects/Keywords: Ákvarðanaverkfræði; Orkunýting; Flugvélar; Bestun; Energy conservation; Optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

1985, E. I. A. (2012). Lateral Optimization of Aircraft Tracks in Reykjavik Air Traffic Control Area. (Thesis). Reykjavík University. Retrieved from http://hdl.handle.net/1946/12682

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

1985, Einar Ingvi Andrésson. “Lateral Optimization of Aircraft Tracks in Reykjavik Air Traffic Control Area.” 2012. Thesis, Reykjavík University. Accessed October 14, 2019. http://hdl.handle.net/1946/12682.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

1985, Einar Ingvi Andrésson. “Lateral Optimization of Aircraft Tracks in Reykjavik Air Traffic Control Area.” 2012. Web. 14 Oct 2019.

Vancouver:

1985 EIA. Lateral Optimization of Aircraft Tracks in Reykjavik Air Traffic Control Area. [Internet] [Thesis]. Reykjavík University; 2012. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/1946/12682.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

1985 EIA. Lateral Optimization of Aircraft Tracks in Reykjavik Air Traffic Control Area. [Thesis]. Reykjavík University; 2012. Available from: http://hdl.handle.net/1946/12682

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Chicago

22. Shah, Rahul H. Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization.

Degree: 2017, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/21993

► Production costs account for the largest share of the overall cost of manufacturing facilities. With the U.S. industrial sector becoming more and more competitive, manufacturers… (more)

▼ Production costs account for the largest share of the overall cost of manufacturing facilities. With the U.S. industrial sector becoming more and more competitive, manufacturers are looking for more cost and resource efficient working practices. Operations management and production planning have shown their capability to dramatically reduce manufacturing costs and increase system robustness. When implementing operations related decision making and planning, two fields that have shown to be most effective are maintenance and energy. Unfortunately, the current research that integrates both is limited. Additionally, these studies fail to consider parameter domains and optimization on joint energy and maintenance driven production planning. Accordingly, production planning methodology that considers maintenance and energy is investigated. Two models are presented to achieve well-rounded operating strategy. The first is a joint energy and maintenance production scheduling model. The second is a cost per part model considering maintenance, energy, and production. The proposed methodology will involve a Time-of-Use electricity demand response program, buffer and holding capacity, station reliability, production rate, station rated power, and more. In practice, the scheduling problem can be used to determine a joint energy, maintenance, and production schedule. Meanwhile, the cost per part model can be used to: (1) test the sensitivity of the obtained optimal production schedule and its corresponding savings by varying key production system parameters; and (2) to determine optimal system parameter combinations when using the joint energy, maintenance, and production planning model. Additionally, a factor analysis on the system parameters is conducted and the corresponding performance of the production schedule under variable parameter conditions, is evaluated. Also, parameter optimization guidelines that incorporate maintenance and energy parameter decision making in the production planning framework are discussed. A modified Particle Swarm Optimization solution technique is adopted to solve the proposed scheduling problem. The algorithm is described in detail and compared to Genetic Algorithm. Case studies are presented to illustrate the benefits of using the proposed model and the effectiveness of the Particle Swarm Optimization approach. Numerical Experiments are implemented and analyzed to test the effectiveness of the proposed model. The proposed scheduling strategy can achieve savings of around 19 to 27 % in cost per part when compared to the baseline scheduling scenarios. By optimizing key production system parameters from the cost per part model, the baseline scenarios can obtain around 20 to 35 % in savings for the cost per part. These savings further increase by 42 to 55 % when system parameter optimization is integrated with the proposed scheduling problem. Using this method, the most influential parameters on the cost per part are the rated power from production, the production rate, and the initial machine… Advisors/Committee Members: Li, Lin (advisor).

Subjects/Keywords: Particle Swarm Optimization; Energy; Maintenance; Scheduling

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APA (6^th Edition):

Shah, R. H. (2017). Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21993

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Shah, Rahul H. “Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization.” 2017. Thesis, University of Illinois – Chicago. Accessed October 14, 2019. http://hdl.handle.net/10027/21993.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Shah, Rahul H. “Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization.” 2017. Web. 14 Oct 2019.

Vancouver:

Shah RH. Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/10027/21993.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shah RH. Cost Minimization for Joint Energy Management and Production Scheduling Using Particle Swarm Optimization. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/21993

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

23. Maheswar R. Performance analysis of an energy optimization scheme for cluster based heterogeneous sensor networks;.

Degree: energy optimization scheme for cluster based heterogeneous sensor networks, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/24038

►

A Wireless Sensor Network WSN consists of a large number of newlinesensor nodes deployed over a geographical area for monitoring physical newlinephenomena like temperature humidity… (more)

Subjects/Keywords: electrical engineering; energy optimization; heterogeneous sensor

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APA (6^th Edition):

R, M. (2014). Performance analysis of an energy optimization scheme for cluster based heterogeneous sensor networks;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24038

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

R, Maheswar. “Performance analysis of an energy optimization scheme for cluster based heterogeneous sensor networks;.” 2014. Thesis, Anna University. Accessed October 14, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/24038.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

R, Maheswar. “Performance analysis of an energy optimization scheme for cluster based heterogeneous sensor networks;.” 2014. Web. 14 Oct 2019.

Vancouver:

R M. Performance analysis of an energy optimization scheme for cluster based heterogeneous sensor networks;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Oct 14]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24038.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

R M. Performance analysis of an energy optimization scheme for cluster based heterogeneous sensor networks;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24038

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

24. Lorca Galvez, Alvaro Hugo. Robust optimization for renewable energy integration in power system operations.

Degree: PhD, Industrial and Systems Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/55653

► Optimization provides critical support for the operation of electric power systems. As power systems evolve, enhanced operational methodologies are required, and innovative optimization models have… (more)

▼ Optimization provides critical support for the operation of electric power systems. As power systems evolve, enhanced operational methodologies are required, and innovative optimization models have the potential to support them. The need for sustainability has led to many transformations, including the deep adoption of wind and solar energy in many power systems. These renewable energy sources have tremendous environmental benefits and can be very convenient economically, however, the power supply they provide is highly uncertain and difficult to predict accurately. This Thesis proposes Robust Optimization models and algorithms for improving the management of uncertainty in electric power system operations. The main goal is to devise new operational methodologies to support the integration of variable renewable energy sources. The first part of this Thesis presents the development of an adaptive robust optimization model for the economic dispatch problem under uncertainty in wind power. The goal of this problem is to determine the power output levels of generating units in order to minimize costs while satisfying several technical constraints. The concept of dynamic uncertainty set is developed to account for temporal and spatial correlations in wind speeds. Further, a simulation platform is implemented to combine the dispatch model with statistical prediction tools in a rolling-horizon framework. Extensive numerical experiments are carried out on this platform using real wind data, showing the potential benefits of the proposed approach in terms of cost and reliability improvements over deterministic models and simpler robust optimization models that ignore temporal and spatial correlations. The second part proposes a multistage adaptive robust optimization model for the unit commitment problem, under uncertainty in nodal net loads. The purpose of this problem is to schedule available generating capacities in each hour of the next day, including on/off generator decisions. The proposed model takes into account the time causality of the hourly unfolding of uncertainty in the power system operation process, which is shown to be relevant when ramping capacities are limited and net loads present significant variability. To deal with large-scale systems, the idea of simplified affine policies is explored and a solution method based on constraint generation is developed. Extensive computational experiments on a 118-bus test case and a real-world power system with 2736 buses demonstrate that the proposed algorithm is effective in handling large-scale power systems and that the proposed multistage robust model can significantly outperform a traditional deterministic model and an existing two-stage robust model in both operational cost and system reliability. The third part develops a more sophisticated multistage robust unit commitment model, where the temporal and spatial correlations of wind and solar power are considered, as well as energy storage devices. A new specialized simplified affine policy is proposed for… Advisors/Committee Members: Sun, Xu A. (advisor), Ahmed, Shabbir (advisor), Conejo, Antonio J. (advisor), Nemirovski, Arkadi (advisor), Shapiro, Alexander (advisor).

Subjects/Keywords: Robust optimization; Power system operations; Renewable energy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lorca Galvez, A. H. (2016). Robust optimization for renewable energy integration in power system operations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55653

Chicago Manual of Style (16^th Edition):

Lorca Galvez, Alvaro Hugo. “Robust optimization for renewable energy integration in power system operations.” 2016. Doctoral Dissertation, Georgia Tech. Accessed October 14, 2019. http://hdl.handle.net/1853/55653.

MLA Handbook (7^th Edition):

Lorca Galvez, Alvaro Hugo. “Robust optimization for renewable energy integration in power system operations.” 2016. Web. 14 Oct 2019.

Vancouver:

Lorca Galvez AH. Robust optimization for renewable energy integration in power system operations. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/1853/55653.

Council of Science Editors:

Lorca Galvez AH. Robust optimization for renewable energy integration in power system operations. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55653

Clemson University

25. Feng, Lujia. Manufacturing System Energy Modeling and Optimization.

Degree: PhD, Automotive Engineering, 2016, Clemson University

URL: https://tigerprints.clemson.edu/all_dissertations/1648

► World energy consumption has continued increasing in recent years. As a major consumer, industrial activities uses about one third of the energy over the last… (more)

Subjects/Keywords: Energy; Forecasting; Manufacturing System; Modeling; Optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Feng, L. (2016). Manufacturing System Energy Modeling and Optimization. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1648

Chicago Manual of Style (16^th Edition):

Feng, Lujia. “Manufacturing System Energy Modeling and Optimization.” 2016. Doctoral Dissertation, Clemson University. Accessed October 14, 2019. https://tigerprints.clemson.edu/all_dissertations/1648.

MLA Handbook (7^th Edition):

Feng, Lujia. “Manufacturing System Energy Modeling and Optimization.” 2016. Web. 14 Oct 2019.

Vancouver:

Feng L. Manufacturing System Energy Modeling and Optimization. [Internet] [Doctoral dissertation]. Clemson University; 2016. [cited 2019 Oct 14]. Available from: https://tigerprints.clemson.edu/all_dissertations/1648.

Council of Science Editors:

Feng L. Manufacturing System Energy Modeling and Optimization. [Doctoral Dissertation]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/1648

University of Minnesota

26. Allman, William. Enabling Distributed Renewable Energy and Chemical Production through Process Systems Engineering.

Degree: PhD, Chemical Engineering, 2018, University of Minnesota

URL: http://hdl.handle.net/11299/202116

► New renewable energy technologies offer the promise of preserving a sustainable energy supply for future generations. Coupling chemical production with renewable energy production can help… (more)

▼ New renewable energy technologies offer the promise of preserving a sustainable energy supply for future generations. Coupling chemical production with renewable energy production can help to address many of the challenges associated with the large-scale implementation of renewable energy, including short time scale variability of electricity production, potential mismatch of supply and demand, and energy stranded in areas of low population density. However, such co-production systems necessitate considering chemical production at scales smaller than what is typically seen in today's infrastructure due to the geospatially dispersed nature of renewable energy resources. This small scale production is economically prohibitive due to economies of scale, which promote building large scale facilities whenever possible. These economic challenges motivate the use of process systems engineering to develop decision making frameworks which minimize the costs of building and operating new renewable energy and chemical production systems. The application of process systems engineering methods to systems producing renewable energy and chemicals presented in this thesis centers around three major themes. First, decomposition, an approach which breaks down large optimization problems into smaller, easier to solve subproblems, is used to solve a challenging problem which finds the optimal design of a combined biorefinery and microgrid system. By doing so, hydrogen production is identified as a critical cost bottleneck in the combined system design. A method for automatically finding subproblems for decomposition for a broad class of optimization problems is also presented. Second, a framework is proposed for considering where new facilities should be built within an existing chemical supply chain. Here, policies and market conditions, such as a carbon tax, are identified that can have a strong effect on reducing emissions from ammonia production. Finally, the connection between the optimal design and operation of renewable energy and chemical systems is analyzed. Here, a framework which determines operating strategies which minimize cost is developed, and the optimal operation of a wind-powered ammonia system in different electricity market structures is analyzed. This framework is used to generate correlations between system design and operating cost which are embedded in a design optimization problem to improve solution efficiency.

Subjects/Keywords: Ammonia; Biofuels; Optimization; Renewable Energy; Sustainability

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Allman, W. (2018). Enabling Distributed Renewable Energy and Chemical Production through Process Systems Engineering. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/202116

Chicago Manual of Style (16^th Edition):

Allman, William. “Enabling Distributed Renewable Energy and Chemical Production through Process Systems Engineering.” 2018. Doctoral Dissertation, University of Minnesota. Accessed October 14, 2019. http://hdl.handle.net/11299/202116.

MLA Handbook (7^th Edition):

Allman, William. “Enabling Distributed Renewable Energy and Chemical Production through Process Systems Engineering.” 2018. Web. 14 Oct 2019.

Vancouver:

Allman W. Enabling Distributed Renewable Energy and Chemical Production through Process Systems Engineering. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/11299/202116.

Council of Science Editors:

Allman W. Enabling Distributed Renewable Energy and Chemical Production through Process Systems Engineering. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/202116

27. Kari, Raywon Teja. Smart Placement of Virtual Machines : Optimizing Energy Consumption.

Degree: 2016, , Department of Communication Systems

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13584

► Context: Recent trends show that there is a tremendous shift from IT companies following traditional methods by hosting their applications/systems in self-managed on premise data… (more)

▼ Context: Recent trends show that there is a tremendous shift from IT companies following traditional methods by hosting their applications/systems in self-managed on premise data centers to using the so-called cloud data centers. Cloud computing has received immense popularity due to its architecture and the ease of usage. Due to this increase in demand and shift in practices, there has been a tremendous increase in number of data centers over a period, resulting in increase of energy consumption. In this thesis work, a research is carried out on optimizing the energy consumption of a typical cloud data center. OpenStack cloud computing software is chosen as the platform in this research. We have used live migration as a key aspect in this research. Objectives: In this research, our objectives are as follows: Design an OpenStack testbed to implement the migration of virtual machines.To estimate the energy consumption of the data center.To design a heuristic algorithm to evaluate the performance metrics and to optimize the overall energy consumption. Methods: We have used PowerAPI, a software tool to estimate the energy consumption of hosts as well as virtual machines. A heuristic algorithm is designed and implemented in an instrumental OpenStack testbed to optimize the energy consumption. Server consolidation and load balancing of virtual machines methodologies are used in the heuristic algorithm design. Our research is carried out against the functionality of Nova scheduler of OpenStack. Results: Results section describes the values of performance metrics yielded by carrying out the experiment. The obtained results showed that energy can be optimized significantly by modifying the way OpenStack nova scheduler can work. The experiment is carried out on vanilla OpenStack and OpenStack with the heuristic algorithm in place, In the second case, the nova scheduler algorithms are not used but the heuristic algorithm is used instead. The CPU utilization and CPU load were noticed to be higher than the metrics observed in case of OpenStack with nova scheduler. Energy consumption is observed to be lesser than the consumption in OpenStack design with nova scheduler. Conclusions: The research tells that energy consumption can be optimized significantly using desired algorithms without compromising the service quality it offers. However, the design impacts on CPU slightly as the metrics are observed to be higher when compared to that in case of OpenStack with nova scheduler. Although it won’t have noticeable impact on the system.

Subjects/Keywords: Energy Consumprion; OpenStack; Optimization; Virtual Machines.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kari, R. T. (2016). Smart Placement of Virtual Machines : Optimizing Energy Consumption. (Thesis). , Department of Communication Systems. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13584

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kari, Raywon Teja. “Smart Placement of Virtual Machines : Optimizing Energy Consumption.” 2016. Thesis, , Department of Communication Systems. Accessed October 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13584.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kari, Raywon Teja. “Smart Placement of Virtual Machines : Optimizing Energy Consumption.” 2016. Web. 14 Oct 2019.

Vancouver:

Kari RT. Smart Placement of Virtual Machines : Optimizing Energy Consumption. [Internet] [Thesis]. , Department of Communication Systems; 2016. [cited 2019 Oct 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13584.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kari RT. Smart Placement of Virtual Machines : Optimizing Energy Consumption. [Thesis]. , Department of Communication Systems; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13584

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

28. Haider, Sajjad. Energy Security and Resiliency for the Texas National Guard.

Degree: MS, Energy, 2018, Texas A&M University

URL: http://hdl.handle.net/1969.1/174148

► The Texas Military Department (TMD) faces energy security issues due to the dependency of electricity from the grid that can be disrupted in case of… (more)

Subjects/Keywords: Energy; resilience; micro-grid; renewable; optimization

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APA (6^th Edition):

Haider, S. (2018). Energy Security and Resiliency for the Texas National Guard. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174148

Chicago Manual of Style (16^th Edition):

Haider, Sajjad. “Energy Security and Resiliency for the Texas National Guard.” 2018. Masters Thesis, Texas A&M University. Accessed October 14, 2019. http://hdl.handle.net/1969.1/174148.

MLA Handbook (7^th Edition):

Haider, Sajjad. “Energy Security and Resiliency for the Texas National Guard.” 2018. Web. 14 Oct 2019.

Vancouver:

Haider S. Energy Security and Resiliency for the Texas National Guard. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/1969.1/174148.

Council of Science Editors:

Haider S. Energy Security and Resiliency for the Texas National Guard. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174148

University of Miami

29. De Ornelas, Maria De La Luz. Exploring Density Incorporation in Inverse Radiotherapy Optimization.

Degree: PhD, Biomedical Engineering (Engineering), 2018, University of Miami

URL: https://scholarlyrepository.miami.edu/oa_dissertations/2086

► Inverse radiotherapy optimization is based on a cost function that tries to minimize the radiation dose to volumes within a patient’s body. This dissertation explores… (more)

▼ Inverse radiotherapy optimization is based on a cost function that tries to minimize the radiation dose to volumes within a patient’s body. This dissertation explores the incorporation of electron/physical density information into the cost function. This can be termed dose-mass-based (DM) inverse optimization, as mass is the product of density and volume. Another approach for incorporating density in the optimization objective function is Energy-based optimization, where density is utilized to minimize energy deposition in mass (i.e. integral dose). The explorations herein included the investigation of sensitivity of mass-based inverse optimization with varying intensity modulation delivery parameters. The results of the study demonstrated that Energy optimization was significantly more sensitive than DM and dose-volume-based (DV) with respect to changes to both maximum segments per beam and minimum segment area. The second investigation considered the anatomical changes that occur to patients during radiotherapy. The dose-mass changes were compared between the planning CT and subsequent CTs, obtained mid-treatment and post-treatment. The results demonstrated that significant changes to dose-mass only occur for the target volumes and no statistically significant changes were observed for the surrounding normal anatomical structures. Another comparison was performed among plans developed with DV, DM, and Energy. The results showed that the anatomical changes yielded comparable differences regardless of the type of optimization used. Since density information is included in DM and Energy, plans the results suggest that the volumetric changes that occur dominate the density changes within the volumes. Under a third investigation, software tools were developed in order to calculate generalized equivalent uniform dose (gEUDs) and mass-weighted equivalent uniform dose (mgEUDs). mgEUD is mathematically more general than gEUD and in uniform-density media mgEUD transforms into gEUD. Incorporating physical density into the gEUD allows for a mass-weighted value representative of the uniform dose given to the mass rather than the volume. To further explore mgEUD patient outcome data for xerostomia of parotids and pneumonitis of lungs was used to correlate complication to mgEUD and in turn compare it to gEUD. The investigation determined that mgEUD values for the parotids did not show significant differences with respect to those of gEUD. In turn, lung mgEUD values demonstrated higher differences compared to values of gEUD. For radiation-induced pneumonitis of grade one and greater mgEUD showed lower standard deviations than those of gEUD. However, these differences did not translate into a better probability model of complication. The observed differences between gEUD and mgEUD using the Lyman-Kutcher-Burman normal tissue complication model were in the range of 2-3% for doses greater than 10 Gy. Incorporating density in inverse optimization plays a role in avoiding higher-density areas. This dissertation concluded that changes… Advisors/Committee Members: Ivaylo B. Mihaylov, Weizhao Zhao, Nesrin Dogan, Edward Dauer, Nelson Salas.

Subjects/Keywords: inverse optimization; density; gEUD; energy; mass; NTCP

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

De Ornelas, M. D. L. L. (2018). Exploring Density Incorporation in Inverse Radiotherapy Optimization. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/2086

Chicago Manual of Style (16^th Edition):

De Ornelas, Maria De La Luz. “Exploring Density Incorporation in Inverse Radiotherapy Optimization.” 2018. Doctoral Dissertation, University of Miami. Accessed October 14, 2019. https://scholarlyrepository.miami.edu/oa_dissertations/2086.

MLA Handbook (7^th Edition):

De Ornelas, Maria De La Luz. “Exploring Density Incorporation in Inverse Radiotherapy Optimization.” 2018. Web. 14 Oct 2019.

Vancouver:

De Ornelas MDLL. Exploring Density Incorporation in Inverse Radiotherapy Optimization. [Internet] [Doctoral dissertation]. University of Miami; 2018. [cited 2019 Oct 14]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/2086.

Council of Science Editors:

De Ornelas MDLL. Exploring Density Incorporation in Inverse Radiotherapy Optimization. [Doctoral Dissertation]. University of Miami; 2018. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/2086

University of Illinois – Urbana-Champaign

30. Sayyah, Arash. Optimization of permanent magnet brushless machine for biomechanical energy harvesting applications.

Degree: MS, 1200, 2010, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/16490

► For electrical power generation over long durations, it would be desirable to harvest energy normally wasted during ordinary human activities such as walking. It is… (more)

Subjects/Keywords: Optimization; permanent magnet brushless machine; energy harvesting

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APA (6^th Edition):

Sayyah, A. (2010). Optimization of permanent magnet brushless machine for biomechanical energy harvesting applications. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16490

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sayyah, Arash. “Optimization of permanent magnet brushless machine for biomechanical energy harvesting applications.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed October 14, 2019. http://hdl.handle.net/2142/16490.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sayyah, Arash. “Optimization of permanent magnet brushless machine for biomechanical energy harvesting applications.” 2010. Web. 14 Oct 2019.

Vancouver:

Sayyah A. Optimization of permanent magnet brushless machine for biomechanical energy harvesting applications. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Oct 14]. Available from: http://hdl.handle.net/2142/16490.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sayyah A. Optimization of permanent magnet brushless machine for biomechanical energy harvesting applications. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16490

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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